A3LTB7 AF NFT

Dol-P-Man:Man(5)GlcNAc(2)-PP-Dol alpha-1,3-mannosyltransferase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiak5xcmjqe7iyv6gpvm4nqlaihp6aqekfxbzmyhdmyfrmkolsfbhy/metadata.json
IPFS of structure file: 
bafybeieb3eojh5rstjllgsk3zzwus77emmxralrykwii65pagxlh6h6eym/AF-A3LTB7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xd10960F956646DE8b64d3598984c91C2d5Af3D7b
First NFT owner address (bech32): 
genesis16yykp72kv3k73djdxkvfsny3ct2670tm7h5hjv
Current NFT ID #13554 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
13554
Accession (UniProt):
A3LTB7
Name::
Dol-P-Man:Man(5)GlcNAc(2)-PP-Dol alpha-1,3-mannosyltransferase
Experimental Method:
Predicted structure
Sequence source:
SCHEFFERSOMYCES STIPITIS (STRAIN ATCC 58785 / CBS 6054 / NBRC 10063 / NRRL Y-11545)

NFT data

MolNFT AF v1 is an AlphaFold database of AI predicted Swiss-Prot protein sequences preserved as regular ERC-721 NFT tokens on GenesisL1 blockchain for public free use, research and entertainment:

https://alphafold.ebi.ac.uk/
Jumper, J., Evans, R., Pritzel, A. et al. Highly accurate protein structure prediction with AlphaFold. 
Nature 596, 583–589 (2021). https://doi.org/10.1038/s41586-021-03819-2

MOLNFT A3LTB7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A3LTB7|ALG3_PICST Dol-P-Man:Man(5)GlcNAc(2)-PP-Dol alpha-1,3-mannosyltransferase OS=Scheffersomyces stipitis (strain ATCC 58785 / CBS 6054 / NBRC 10063 / NRRL Y-11545) OX=322104 GN=ALG3 PE=3 SV=2 MSEPESSVANNDGESTQAPQLAELTLKNVLGDIVNGVHFIIFDPLGNRFVVPVIILLTSIITKVIITKVPYTEIDFVTYMQQIQLVNQGEIDYAEISGDTGPIVYPAGFVQIYQWLYSQTNGGADIATGQSIFGYLMTATVVFVCVAYTMSPTTKPWVLFLLLGSKRLYSIYVLRLFNDCFTTAAMVGVTVFLQQGSYWYSTSSFISFLFAIVGADLFSIAISIKMNALLYLPAVVIIAYFLVGENILLFAIVLAIVPLVQILVGWKFLLPLFDDEAASQIRWNYINNAFNFGRKFLFKWTVNWRFIGEETFLSDKFSILLMGGHIVVLLFFIFTRFLNSKVTGKSIWQLIKDAFKPSSTISSNNKLIDYNVGPKLILLILATTNVIGVLFSRSLHYQFLSWYCWQLPFLLHSTGWNFIVCLVLWGAHEWTWNVYPSTVASSLVLVGILSSVLVGTWRNEAVWFEENNVVDDEKKNE